Azure Cloud Engineer

Join UsAs part of the Reailize and B-Yond group, you’ll be joining a team that is redefining how technology powers businesses worldwide. We combine global expertise in AI, automation, and network transformation with a culture that values innovation, creativity, and impact. Here, you’ll have the opportunity to work on groundbreaking projects, grow your skills, and be part of a group that’s shaping the future of technologyRole OverviewThis position is an Azure Cloud Engineer role within our client’s pre-production Mobility Labs group. The team is responsible for building and standardizing CI/CD pipelines that automate how Network Functions are deployed across multiple lab environments, with a future path to production deployments.This role works closely with our client’s application teams and third-party vendors to design, implement, and drive CI/CD automation using Azure DevOps (ADO). The focus is on pipeline development, deployment automation, and workflow orchestration.We are seeking a well-rounded professional who brings an equal balance of vendor management expertise (50%) and hands-on technical skills (50%). This role serves as a key bridge between external partners and internal technical teams, ensuring vendors deliver high-quality solutions while also contributing directly to technical execution and problem-solvingThis opportunity requires onsite presence twice a week out of any of these locations:Texas: Austin, Dallas, PlanoNew Jersey: Middletown, BedminsterGeorgia: Lenox/Atlanta, AlpharettaWashington: Bothell, Redmond Key ResponsibilitiesDesign, build, and maintain Azure DevOps CI/CD pipelines to automate deployment of Network Functions across lab and future production environmentsCollaborate directly with application teams and third-party application vendors to integrate CI/CD workflowsCoordinate vendor deliverables, timelines, and dependencies with internal stakeholdersEnsure vendors meet quality, security, and compliance standardsIdentify CI/CD improvements and standardization opportunitiesSupport container-based workflows using Docker and KubernetesCreate and troubleshoot Linux shell script templates from scratchDevelop and maintain YAML-based Azure DevOps pipelines, with emphasis on deployment activitiesWork with Azure DevOps agents, repositories, and pipeline templatesImplement secure pipeline integrations using Azure Key Vault, service principals, and Azure Resource Manager endpointsAutomate infrastructure configuration using Terraform (pipeline-driven, not infra ownership)Use Azure CLI extensively for automation and troubleshootingDrive and lead technical discussions, design reviews, and working sessionsTroubleshoot pipeline failures and deployment issues across environmentsQualificationsStrong hands-on experience with Linux and shell scriptingStrong experience working with external vendors is mandatoryStrong experience with Ansible and PythonExpert-level understanding of Azure DevOps and Azure, including:Azure DevOps Pipelines (especially YAML pipelines)Azure DevOps AgentsAzure DevOps ReposAzure Key Vault (AKV)Azure Container Registry (ACR)Azure Resource Manager (service connections, endpoints, service principals)Experience creating and maintaining deployment-focused CI/CD pipelinesStrong experience working with Git (branching, tagging, commits, pull requests)Solid understanding of CI/CD methodologies and best practicesStrong working knowledge of YAML and JSON, including variable definition and reuseTroubleshooting and working with different CNI/CSI is a nice to haveInterview IntegrityDuring the interview process, we're evaluating your individual problem-solving skills, creativity, and approach to challenges. While AI tools like ChatGPT, Claude, and Cursor are part of your daily toolkit once you join B-Yond, all interviews, assessments, and take-home assignments must be completed independently.You may not use AI tools, third-party services, coaching platforms, or content-farming services during any part of the interview process unless we explicitly permit it. We will clearly communicate when AI tools are allowed for specific assessments.Any indication of third-party assistance or AI-generated responses will result in immediate disqualification.